code: def create_fbeta():
      return MetricsLambda(
          fbeta,
          Recall(average=True),
          Precision(average=True),
          0.5,
          True,
      )
  
file_path: transfer-nlp/tests/plugins/test_trainer.py
imports: import copy
  import unittest
  from pathlib import Path
  import ignite
  import ignite.metrics
  import torch.nn
  import torch.optim
  from ignite.metrics import Precision, Recall, MetricsLambda
  from transfer_nlp.plugins.config import ExperimentConfig
  from transfer_nlp.plugins.regularizers import L1
  from .trainer_utils import *
label_desc: Use image node_id 2 for calling a global function with example usage: create_fbeta() and returns: MetricsLambda